Predictive values of spinal cord diffusion magnetic resonance imaging to characterize outcomes after contusion injury
Abstract Objectives To explore filtered diffusion‐weighted imaging (fDWI), in comparison with conventional magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI), as a predictor for long‐term locomotor and urodynamic (UD) outcomes in Yucatan minipig model of spinal cord injury (SCI). Ad...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-09-01
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| Series: | Annals of Clinical and Translational Neurology |
| Online Access: | https://doi.org/10.1002/acn3.51855 |
| _version_ | 1797685050054017024 |
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| author | Rakib Uddin Ahmed Daniel Medina‐Aguinaga Shawns Adams Chase A. Knibbe Monique Morgan Destiny Gibson Joo‐won Kim Mayur Sharma Manpreet Chopra Steven Davison Leslie C. Sherwood M.J. Negahdar Robert Bert Beatrice Ugiliweneza Charles Hubscher Matthew D. Budde Junqian Xu Maxwell Boakye |
| author_facet | Rakib Uddin Ahmed Daniel Medina‐Aguinaga Shawns Adams Chase A. Knibbe Monique Morgan Destiny Gibson Joo‐won Kim Mayur Sharma Manpreet Chopra Steven Davison Leslie C. Sherwood M.J. Negahdar Robert Bert Beatrice Ugiliweneza Charles Hubscher Matthew D. Budde Junqian Xu Maxwell Boakye |
| author_sort | Rakib Uddin Ahmed |
| collection | DOAJ |
| description | Abstract Objectives To explore filtered diffusion‐weighted imaging (fDWI), in comparison with conventional magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI), as a predictor for long‐term locomotor and urodynamic (UD) outcomes in Yucatan minipig model of spinal cord injury (SCI). Additionally, electrical conductivity of neural tissue using D‐waves above and below the injury was measured to assess correlations between fDWI and D‐waves data. Methods Eleven minipigs with contusion SCI at T8‐T10 level underwent MRI at 3T 4 h. post‐SCI. Parameters extracted from region of interest analysis included Daxial from fDWI at injury site, fractional anisotropy and radial diffusivity from DTI above the injury site along with measures of edema length and cord width at injury site from T2‐weighted images. Locomotor recovery was assessed pre‐ and weekly post‐SCI through porcine thoracic injury behavior scale (PTIBS) and UD were performed pre‐ and at 12 weeks of SCI. D‐waves latency and amplitude differences were recorded before and immediately after SCI. Results Two groups of pigs were found based on the PTIBS at week 12 (p < 0.0001) post‐SCI and were labeled “poor” and “good” recovery. D‐waves amplitude decreased below injury and increased above injury. UD outcomes pre/post SCI changed significantly. Conventional MRI metrics from T2‐weighted images were significantly correlated with diffusion MRI metrics. Daxial at injury epicenter was diminished by over 50% shortly after SCI, and it differentiated between good and poor locomotor recovery and UD outcomes. Interpretation Similar to small animal studies, fDWI from acute imaging after SCI is a promising predictor for functional outcomes in large animals. |
| first_indexed | 2024-03-12T00:39:45Z |
| format | Article |
| id | doaj.art-fafc0f8e721d4aa48543ecf701dca5f0 |
| institution | Directory Open Access Journal |
| issn | 2328-9503 |
| language | English |
| last_indexed | 2024-03-12T00:39:45Z |
| publishDate | 2023-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Annals of Clinical and Translational Neurology |
| spelling | doaj.art-fafc0f8e721d4aa48543ecf701dca5f02023-09-15T09:08:30ZengWileyAnnals of Clinical and Translational Neurology2328-95032023-09-011091647166110.1002/acn3.51855Predictive values of spinal cord diffusion magnetic resonance imaging to characterize outcomes after contusion injuryRakib Uddin Ahmed0Daniel Medina‐Aguinaga1Shawns Adams2Chase A. Knibbe3Monique Morgan4Destiny Gibson5Joo‐won Kim6Mayur Sharma7Manpreet Chopra8Steven Davison9Leslie C. Sherwood10M.J. Negahdar11Robert Bert12Beatrice Ugiliweneza13Charles Hubscher14Matthew D. Budde15Junqian Xu16Maxwell Boakye17Department of Neurological Surgery and Kentucky Spinal Cord Injury Research Center University of Louisville Louisville Kentucky USADepartment of Anatomical Sciences and Neurobiology University of Louisville Louisville Kentucky USADepartment of Neurosurgery Duke University Raleigh North Carolina USADepartment of Neurological Surgery and Kentucky Spinal Cord Injury Research Center University of Louisville Louisville Kentucky USADepartment of Neurological Surgery and Kentucky Spinal Cord Injury Research Center University of Louisville Louisville Kentucky USADepartment of Neurological Surgery and Kentucky Spinal Cord Injury Research Center University of Louisville Louisville Kentucky USADepartment of Radiology Baylor College of Medicine Houston Texas USADepartment of Neurological Surgery and Kentucky Spinal Cord Injury Research Center University of Louisville Louisville Kentucky USADepartment of Neurological Surgery and Kentucky Spinal Cord Injury Research Center University of Louisville Louisville Kentucky USAComparative Medicine Research Unit University of Louisville Louisville Kentucky USAComparative Medicine Research Unit University of Louisville Louisville Kentucky USADepartment of Radiology University of Louisville Louisville Kentucky USADepartment of Radiology University of Louisville Louisville Kentucky USADepartment of Neurological Surgery and Kentucky Spinal Cord Injury Research Center University of Louisville Louisville Kentucky USADepartment of Anatomical Sciences and Neurobiology University of Louisville Louisville Kentucky USADepartment of Neurosurgery Medical College of Wisconsin Milwaukee Wisconsin USADepartment of Radiology Baylor College of Medicine Houston Texas USADepartment of Neurological Surgery and Kentucky Spinal Cord Injury Research Center University of Louisville Louisville Kentucky USAAbstract Objectives To explore filtered diffusion‐weighted imaging (fDWI), in comparison with conventional magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI), as a predictor for long‐term locomotor and urodynamic (UD) outcomes in Yucatan minipig model of spinal cord injury (SCI). Additionally, electrical conductivity of neural tissue using D‐waves above and below the injury was measured to assess correlations between fDWI and D‐waves data. Methods Eleven minipigs with contusion SCI at T8‐T10 level underwent MRI at 3T 4 h. post‐SCI. Parameters extracted from region of interest analysis included Daxial from fDWI at injury site, fractional anisotropy and radial diffusivity from DTI above the injury site along with measures of edema length and cord width at injury site from T2‐weighted images. Locomotor recovery was assessed pre‐ and weekly post‐SCI through porcine thoracic injury behavior scale (PTIBS) and UD were performed pre‐ and at 12 weeks of SCI. D‐waves latency and amplitude differences were recorded before and immediately after SCI. Results Two groups of pigs were found based on the PTIBS at week 12 (p < 0.0001) post‐SCI and were labeled “poor” and “good” recovery. D‐waves amplitude decreased below injury and increased above injury. UD outcomes pre/post SCI changed significantly. Conventional MRI metrics from T2‐weighted images were significantly correlated with diffusion MRI metrics. Daxial at injury epicenter was diminished by over 50% shortly after SCI, and it differentiated between good and poor locomotor recovery and UD outcomes. Interpretation Similar to small animal studies, fDWI from acute imaging after SCI is a promising predictor for functional outcomes in large animals.https://doi.org/10.1002/acn3.51855 |
| spellingShingle | Rakib Uddin Ahmed Daniel Medina‐Aguinaga Shawns Adams Chase A. Knibbe Monique Morgan Destiny Gibson Joo‐won Kim Mayur Sharma Manpreet Chopra Steven Davison Leslie C. Sherwood M.J. Negahdar Robert Bert Beatrice Ugiliweneza Charles Hubscher Matthew D. Budde Junqian Xu Maxwell Boakye Predictive values of spinal cord diffusion magnetic resonance imaging to characterize outcomes after contusion injury Annals of Clinical and Translational Neurology |
| title | Predictive values of spinal cord diffusion magnetic resonance imaging to characterize outcomes after contusion injury |
| title_full | Predictive values of spinal cord diffusion magnetic resonance imaging to characterize outcomes after contusion injury |
| title_fullStr | Predictive values of spinal cord diffusion magnetic resonance imaging to characterize outcomes after contusion injury |
| title_full_unstemmed | Predictive values of spinal cord diffusion magnetic resonance imaging to characterize outcomes after contusion injury |
| title_short | Predictive values of spinal cord diffusion magnetic resonance imaging to characterize outcomes after contusion injury |
| title_sort | predictive values of spinal cord diffusion magnetic resonance imaging to characterize outcomes after contusion injury |
| url | https://doi.org/10.1002/acn3.51855 |
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